2023 Vol.6 Dec.N06

• Title: Sentencing standardization model based on judicial big data
• Name: Yawen Zhang
• Company: Shanxi University School of Law，030006     Taiyuan China
• Abstract:

  In recent years, people have gradually become familiar with and recognized the concept of big data era. The rapid development of big data technology has had a significant impact on the socio-political and economic situation, and the field of judicial adjudication is no exception. Big data technology focuses on the analysis and learning of huge amount of data, and digging out the hidden correlations. The judiciary has come to realize the important impact of big data technology in the 21st century. In this context, judicial authorities are actively using big data technology to reform the existing judicial system in order to improve judicial efficiency, promote judicial justice, and establish judicial authority. However, like other new things, big data technology has triggered many new problems while playing an important role in judicial adjudication, such as infringement of personal information and privacy, algorithmic dictatorship, and detrimental to fairness and justice of individual cases. In this paper, we take online fraud crimes as the research object, extract key features of cases using pattern matching and machine deep learning, design a standardized sentencing database to store case features, and use the LightGBM algorithm to establish a standardized sentencing model based on judicial big data and analyze court decision data in real time. After evaluation, it is found that the sentencing normalization model proposed in this study has good prediction and judgment ability, and the application of this evaluation method can provide data guarantee for the judicial big data information management platform.

  
  

• Keyword: judicial big data; sentencing; standardization
• DOI: 10.12250/jpciams2023090816
• Citation form: Yawen Zhang.Sentencing standardization model based on judicial big data [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.75-80

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